An advanced medical literature research tool based on the PubMed database, providing functions for searching, analyzing, and retrieving academic medical papers, including literature search, obtaining detailed metadata, generating citations, and researcher statistics.

An MCP server plugin based on the Semantic Scholar API for academic literature retrieval

The OpenAlex MCP Server is an open - source project that implements the Model Configuration Protocol (MCP) to provide structured access to global academic literature for AI assistants.

The arXiv Research Assistant MCP Server is a local server built based on Python and the FastMCP framework, specifically designed to interact with the arXiv.org paper database. It provides functions such as keyword search, getting the latest papers in categories, querying paper details, author search, trend analysis, etc., and supports generating paper summaries and comparison prompts, facilitating users to efficiently explore academic literature.

The arXiv Research Assistant MCP Server is a local server built on Python and the FastMCP framework, specifically designed to interact with the arXiv.org paper database. It provides functions such as keyword search, getting the latest papers by category, querying paper details, retrieving author papers, and supports generating paper summaries and comparison prompts to help users efficiently explore academic literature.

The Crossref MCP Server is a bridge service that provides academic paper metadata search for AI assistants through the Model Context Protocol (MCP). It supports retrieving information on academic literatures, journals, and funding institutions in the Crossref database by DOI, title, or keywords.